Prognostic Value of Coronary CTA in Stable Chest Pain: CAD-RADS, Coronary Artery Calcium, and Cardiovascular Events in the PROMISE Trial

Background and Objective: To compare the 2016 Coronary Artery Disease Reporting and Data System (CAD-RADS) for coronary CT angiography (CTA) to traditional stenosis categories and the coronary artery calcium score (CACS) for predicting cardiovascular events in patients with stable chest pain and suspected CAD. Methods: PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) trial participants’ CTAs were assessed by a central CT core lab for CACS, traditional stenosis-based categories, and modified CAD-RADS grade including high-risk coronary plaque features (HRP). Traditional stenosis categories and CAD-RADS grade were compared for the prediction of the composite endpoint of death, myocardial infarction, or hospitalization for unstable angina over a median follow-up of 25 months. Incremental prognostic value over traditional risk factors and CACS was assessed. Results: In 3,840 eligible patients (mean age: 60.4±8.2 years; 49% men), 3.0% (115) experienced an event. CAD-RADS (c-statistic 0.747) had significantly higher discriminatory value than traditional stenosis-based asessments (c-statistic 0.698-0.717; all p for comparison ≤0.001). With no plaque (CAD-RADS 0) as the baseline, the hazard ratio for an event increased from HR 2.43 [95% CI: (1.16-5.08)] for CAD-RADS 1 to 21.84 [95% CI: (8.63-55.26)] for CAD-RADS 4b +5. In stepwise nested models, CAD-RADS added incremental prognostic value beyond ASCVD risk score and CACS (c-statistic 0.776 vs. 0.682, p<0.001), and added incremental value persisted in all CACS strata. Conclusion: These data from a large representative contemporary cohort of patients undergoing coronary CTA for stable chest pain support the prognostic value of CAD-RADS as a standard reporting system for coronary CTA.

[1]  E. V. van Beek,et al.  Coronary Artery Plaque Characteristics Associated With Adverse Outcomes in the SCOT-HEART Study , 2019, Journal of the American College of Cardiology.

[2]  E. V. van Beek,et al.  Coronary CT Angiography and 5‐Year Risk of Myocardial Infarction , 2018, The New England journal of medicine.

[3]  R. Kronmal,et al.  Ten-year association of coronary artery calcium with atherosclerotic cardiovascular disease (ASCVD) events: the multi-ethnic study of atherosclerosis (MESA) , 2018, European heart journal.

[4]  Michael T. Lu,et al.  Use of High-Risk Coronary Atherosclerotic Plaque Detection for Risk Stratification of Patients With Stable Chest Pain: A Secondary Analysis of the PROMISE Randomized Clinical Trial , 2018, JAMA cardiology.

[5]  Michael T. Lu,et al.  Central Core Laboratory versus Site Interpretation of Coronary CT Angiography: Agreement and Association with Cardiovascular Events in the PROMISE Trial. , 2017, Radiology.

[6]  D. Berman,et al.  The Coronary Artery Disease-Reporting and Data System (CAD-RADS): Prognostic and Clinical Implications Associated With Standardized Coronary Computed Tomography Angiography Reporting. , 2018, JACC. Cardiovascular imaging.

[7]  H. Rashid,et al.  Computed Tomographic Coronary Angiography–Derived Plaque Characteristics Predict Major Adverse Cardiovascular Events: A Systematic Review and Meta-Analysis , 2018, Circulation. Cardiovascular imaging.

[8]  Michael T. Lu,et al.  Prognostic Value of Coronary Artery Calcium in the PROMISE Study (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) , 2017, Circulation.

[9]  M. Pencina,et al.  Prognostic Value of Noninvasive Cardiovascular Testing in Patients With Stable Chest Pain: Insights From the PROMISE Trial (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) , 2017, Circulation.

[10]  P. Crosland NICE: Chest pain of recent onset , 2016, British Journal of Cardiac Nursing.

[11]  M. Budoff,et al.  Changes in Medical Therapy and Lifestyle After Anatomical or Functional Testing for Coronary Artery Disease , 2016, Journal of the American Heart Association.

[12]  K. Nieman,et al.  Calcium imaging and selective computed tomography angiography in comparison to functional testing for suspected coronary artery disease: the multicentre, randomized CRESCENT trial. , 2016, European Heart Journal.

[13]  J. Abdulla,et al.  Characteristics of high-risk coronary plaques identified by computed tomographic angiography and associated prognosis: a systematic review and meta-analysis. , 2016, European heart journal cardiovascular Imaging.

[14]  R. D'Agostino,et al.  Cardiovascular Event Prediction and Risk Reclassification by Coronary, Aortic, and Valvular Calcification in the Framingham Heart Study , 2016, Journal of the American Heart Association.

[15]  L. Shaw,et al.  Plaque Characterization by Coronary Computed Tomography Angiography and the Likelihood of Acute Coronary Events in Mid-Term Follow-Up. , 2015, Journal of the American College of Cardiology.

[16]  Scot-Heart Investigators,et al.  CT coronary angiography in patients with suspected angina due to coronary heart disease (SCOT-HEART): an open-label, parallel-group, multicentre trial , 2015, The Lancet.

[17]  E. Yow,et al.  A selection of recent, original research papers , 2015, Journal of Nuclear Cardiology.

[18]  J. Fleg,et al.  High-risk plaque detected on coronary CT angiography predicts acute coronary syndromes independent of significant stenosis in acute chest pain: results from the ROMICAT-II trial. , 2014, Journal of the American College of Cardiology.

[19]  Udo Hoffmann,et al.  Comprehensive plaque assessment by coronary CT angiography , 2014, Nature Reviews Cardiology.

[20]  K. Anstrom,et al.  PROspective Multicenter Imaging Study for Evaluation of chest pain: rationale and design of the PROMISE trial. , 2014, American heart journal.

[21]  H. Kauczor,et al.  Histogram Analysis of Lipid-Core Plaques in Coronary Computed Tomographic Angiography: Ex Vivo Validation Against Histology , 2013, Investigative radiology.

[22]  D. Berman,et al.  Prevalence and severity of coronary artery disease and adverse events among symptomatic patients with coronary artery calcification scores of zero undergoing coronary computed tomography angiography: results from the CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International , 2011, Journal of the American College of Cardiology.

[23]  Dieter Ropers,et al.  In vivo CT detection of lipid-rich coronary artery atherosclerotic plaques using quantitative histogram analysis: a head to head comparison with IVUS. , 2011, Atherosclerosis.

[24]  Hirofumi Anno,et al.  Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome. , 2009, Journal of the American College of Cardiology.

[25]  Mathias Prokop,et al.  Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. , 2008, Journal of the American College of Cardiology.

[26]  N. Paul,et al.  Perioperative β-Blockers : Use With Caution Perioperative β Blockers in Patients Having Non-Cardiac Surgery : A Meta-Analysis , 2010 .

[27]  M. Budoff,et al.  Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Indi , 2008, Journal of the American College of Cardiology.

[28]  Moyses Szklo,et al.  Coronary calcium as a predictor of coronary events in four racial or ethnic groups. , 2008, The New England journal of medicine.

[29]  F. Harrell,et al.  Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors , 2005 .

[30]  F. Harrell,et al.  Evaluating the yield of medical tests. , 1982, JAMA.

[31]  E. Kaplan,et al.  Nonparametric Estimation from Incomplete Observations , 1958 .

[32]  D.,et al.  Regression Models and Life-Tables , 2022 .